sMIDUS {causal.decomp}R Documentation

Synthetic Data Generated Based on the Midlife Development in the U.S. (MIDUS) Study

Description

This is a synthetic dataset that includes variables from the Midlife Development in the U.S. (MIDUS) study. It has been artificially generated based on the actual MIDUS data, which is not publicly available due to confidentiality concerns. The synthetic data set consists of 1948 rows and 9 columns, with no missing values.

Usage

sMIDUS

Format

A data frame containing the following variables.

health:

cardiovascular health score.

racesex:

race-gender groups with four levels (1: White men, 2: White women, 3: Black men, 4: Black women).

lowchildSES:

socioeconomic status (SES) in the childhood.

abuse:

adverse experience in the childhood.

edu:

education level.

age:

age.

stroke:

genetic vulnerability with a value of 0 or 1.

T2DM:

genetic vulnerability with a value of 0 or 1.

heart:

genetic vulnerability with a value of 0 or 1.

Details

Note that all the variables are fabricated using the actual MIDUS data used in Park et al. (2023).

References

Park, S., Kang, S., Lee, C., & Ma, S. (2023). Sensitivity Analysis for Causal Decomposition Analysis: Assessing Robustness Toward Omitted Variable Bias, Journal of Causal Inference. Forthcoming.


[Package causal.decomp version 0.1.0 Index]